Abstract

We assume that visual object recognition occurs by mapping incoming visual data onto a set of object categories. A claim is made that the world is structured in such a way that allows a definition of natural classes and that these classes should be the basis for visual categorization. Therefore, a vision system that is to perform successful visual categorization in the natural world must be able to recover these natural classes.

© 1986 Optical Society of America